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AI agents for Greenhouse

A Monmo agent works in Greenhouse like a recruiting coordinator. It summarises new applications against the attributes on your scorecard, chases interviewers for missing scorecards, proposes interview times from Google Calendar, drafts job posts and candidate emails, and reports on the pipeline every week. It uses the Greenhouse access you give it. Hiring decisions stay with your team, and every email, stage move or booking asks first.

Updated 2026-11-13 · Free to start. Paid plans from $15 a month.

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What agents do in Greenhouse

  • Summarise applications against the scorecard

    For each new application it writes a short summary against the attributes in that job's scorecard, quoting the evidence from the resume. It does not reject or advance anyone; your hiring team decides.

    AskSummarise this week's applications for the Senior Product Designer job against the scorecard attributes.
  • Chase missing scorecards

    Every afternoon it checks interviews from the past two days with no submitted scorecard, and reminds each interviewer in Slack with the candidate, the interview and a link back to Greenhouse.

    AskEvery day at 4, remind interviewers in Slack whose scorecards are more than 24 hours late.
  • Arrange interviews

    For a candidate moving to onsite it reads the interview plan, checks the panel's free time in Google Calendar, proposes slots and drafts the candidate email. Sending invites and booking rooms ask first.

    AskFind three slots next week for Sam's final interviews with the panel on the plan, and draft the email to Sam.
  • Draft interview kits

    From the job's attributes it drafts questions for each interview in the plan, with what a strong and a weak answer sound like, so interviewers test different things. Saving the kit asks first.

    AskDraft interview kit questions for each stage of the Account Executive interview plan, mapped to the attributes.
  • Write job posts from the intake

    After the intake meeting it turns the hiring manager's notes into a job post with responsibilities, requirements and the pay range you set. Publishing to your job board or others asks first.

    AskTurn these intake notes into a job post for a Finance Manager. Keep it under 500 words and include the pay range.
  • Report on the pipeline every Monday

    Every Monday it counts candidates by stage for each open job, flags anyone sitting in a stage for more than ten days and lists sources, in a Google Sheets report for the hiring managers.

    AskEvery Monday at 9, send each hiring manager their pipeline by stage and anyone waiting more than ten days.
  • Draft candidate updates and rejections

    Once your team has made a decision, it drafts the email from your Greenhouse templates with a personal line where it fits. A batch of emails waits for one approval, and nothing goes out on its own.

    AskDraft rejection emails for the candidates we decided not to move forward this week, using our template.

How it connects

  1. 1You connect Greenhouse once. API access in Greenhouse is usually created by an admin, who chooses which endpoints it may use, and actions are recorded against the user you name, so the audit trail stays clear.
  2. 2You choose which agents use Greenhouse. A recruiting agent fits; a sales agent has no reason to see candidates, and can hand a referral to the recruiting agent instead.
  3. 3Reading jobs, candidates, scorecards and reports needs no approval. Moving a stage, emailing a candidate, scheduling an interview, publishing a post and any offer step ask first. Hiring decisions are always yours.

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FAQ

Questions people ask

Can an AI agent screen candidates in Greenhouse?

It prepares the screening and your team decides. A Monmo agent summarises each application against the attributes on your scorecard and quotes the evidence, so reviewers read faster. It does not reject, advance or rank anyone on its own, and moving a candidate's stage always asks first.

Can it schedule interviews from Greenhouse?

Yes, with your approval. It reads the interview plan, checks the panel's availability in Google Calendar or Outlook, proposes times and drafts the candidate email. Once you allow it, it sends the invites and records the interview through the Greenhouse connection, or in its own browser when the connection does not cover something.

Is it fair to use an AI agent in hiring?

It depends on keeping people in charge, which is how a Monmo agent works. It summarises against criteria you set, shows the evidence for every point, and leaves every decision to your team. Check your own legal duties on automated decisions in hiring, and tell the agent anything it must not consider.

Does the agent work with Greenhouse scorecards and interview plans?

Yes. It reads each job's interview plan and scorecard attributes, drafts interview kits from them, chases interviewers who have not submitted, and builds a debrief summary from the submitted scorecards. Ratings come only from your interviewers, never from the AI agent.

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